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Job Scheduling Strategies for Parallel Processing

Overview of attention for book
Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Effect of Job Size Characteristics on Job Scheduling Performance
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    Chapter 2 Improving Parallel Job Scheduling Using Runtime Measurements
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    Chapter 3 Valuation of Ultra-scale Computing Systems
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    Chapter 4 Job Scheduling Strategies for Parallel Processing
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    Chapter 5 A Critique of ESP
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    Chapter 6 Resource Allocation Schemes for Gang Scheduling
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    Chapter 7 A Tool to Schedule Parallel Applications on Multiprocessors: The NANOS CPU Manager
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    Chapter 8 Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements
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    Chapter 9 The Performance Impact of Advance Reservation Meta-scheduling
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    Chapter 10 The Influence of the Structure and Sizes of Jobs on the Performance of Co-allocation
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    Chapter 11 Load Balancing for Minimizing Execution Time of a Target Job on a Network of Heterogeneous Workstations
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    Chapter 12 Adaptive Selection of Partition Size for Supercomputer Requests
Attention for Chapter 2: Improving Parallel Job Scheduling Using Runtime Measurements
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Citations

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Chapter title
Improving Parallel Job Scheduling Using Runtime Measurements
Chapter number 2
Book title
Job Scheduling Strategies for Parallel Processing
Published by
Springer, Berlin, Heidelberg, May 2000
DOI 10.1007/3-540-39997-6_2
Book ISBNs
978-3-54-041120-8, 978-3-54-039997-1
Authors

Fabricio Alves Barbosa da Silva, Isaac D. Scherson

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Psychology 1 33%

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